The Supplementation of Berberine in High-Carbohydrate Diets Improves Glucose Metabolism of Tilapia (Oreochromis niloticus) via Transcriptome, Bile Acid Synthesis Gene Expression and Intestinal Flora.

Berberine is an alkaloid used to treat diabetes. This experiment aimed to investigate the effects of berberine supplementation in high-carbohydrate diets on the growth performance, glucose metabolism, bile acid synthesis, liver transcriptome, and intestinal flora of Nile tilapia. The six dietary groups were the C group with 29% carbohydrate, the H group with 44% carbohydrate, and the HB1-HB4 groups supplemented with 25, 50, 75, and 100 mg/kg of berberine in group H. The results of the 8-week trial showed that compared to group C, the abundance of Bacteroidetes was increased in group HB2 (p < 0.05). The cholesterol-7α-hydroxylase (CYP7A1) and sterol-27-hydroxylase (CYP27A1) activities were decreased and the expression of FXR was increased in group HB4 (p < 0.05). The pyruvate carboxylase (PC) and phosphoenolpyruvate carboxykinase (PEPCK) activities was decreased in group HB4 (p < 0.05). The liver transcriptome suggests that berberine affects carbohydrate metabolic pathways and primary bile acid synthesis pathways. In summary, berberine affects the glucose metabolism in tilapia by altering the intestinal flora structure, enriching differentially expressed genes (DEGs) in the bile acid pathway to stimulate bile acid production so that it promotes glycolysis and inhibits gluconeogenesis. Therefore, 100 mg/kg of berberine supplementation in high-carbohydrate diets is beneficial to tilapia.

Healthy couple, better sleep: Exploring connections and changes in couple relationship education participants.

Considerable evidence suggests couple relationship education (CRE) programs are effective in improving couples' relationship functioning, yet few studies have examined the implications of CRE programs on indicators of physical health despite substantial research supporting links between relational and physical health. This study utilized a sample of 308 couples randomly assigned to a CRE curriculum to explore the dyadic links between conflict management and self-care skills (emphasized in CRE), stress, and sleep dysfunction concurrently. We prospectively tested whether changes in skills drove changes in sleep dysfunction or vice versa, for both self and partner. Results from a series of structural equation models indicated indirect links for men and women between conflict management and self-care skills and sleep dysfunction through lower stress level at program start. Dyadically, men's and women's better conflict management skills were associated with partners' lower stress, which was in turn associated with partners' lower sleep dysfunction. Men's better self-care skills were linked with partners' lower stress levels, which were linked with partners' lower sleep dysfunction. Tests of dyadic prospective cross-lagged effects among changes in sleep and changes in skills indicated that initial improvements in both partners' sleep predicted improvements in their own conflict management skills 1 year later. Initial improvements in women's conflict management skills predicted reduced sleep dysfunction for themselves. Additionally, for both partners, early changes in self-care predicted later reductions in sleep dysfunction. Dyadically, immediate improvements in men's self-care predicted reduced sleep dysfunction for their partner a year later. Implications for research and practice are discussed.

Examining the link between exercise-specific relational processes and physical activity, psychological distress, and relationship satisfaction among heterosexual and gay male couples.

Despite the important role of romantic relationships in physical activity, little research has examined the role of gender and sexual orientation in exercise-specific relational processes. Utilizing cross-sectional, dyadic data from 462 heterosexual and gay couples, the present study examined how exercise encouragement, exercise discouragement, and frequency of exercise disagreements are related to physical activity, psychological distress, and relationship satisfaction. We included important covariates and examined gender and sexual orientation as moderators. Higher exercise encouragement was associated with more frequent physical activity (for gay men only), lower psychological distress (for women only), and higher relationship satisfaction regardless of gender and sexual orientation. Higher exercise discouragement was associated with more physical activity for all participants and higher levels of psychological distress for gay men only. Finally, more frequent exercise disagreements were associated with more psychological distress for all participants. These findings highlight important implications for physical activity promotion, prevention, and intervention.

Intelligent Electromagnetic Sensing with Learnable Data Acquisition and Processing.

Electromagnetic (EM) sensing is a widespread contactless examination technique with applications in areas such as health care and the internet of things. Most conventional sensing systems lack intelligence, which not only results in expensive hardware and complicated computational algorithms but also poses important challenges for real-time in situ sensing. To address this shortcoming, we propose the concept of intelligent sensing by designing a programmable metasurface for data-driven learnable data acquisition and integrating it into a data-driven learnable data-processing pipeline. Thereby, a measurement strategy can be learned jointly with a matching data post-processing scheme, optimally tailored to the specific sensing hardware, task, and scene, allowing us to perform high-quality imaging and high-accuracy recognition with a remarkably reduced number of measurements. We report the first experimental demonstration of "learned sensing" applied to microwave imaging and gesture recognition. Our results pave the way for learned EM sensing with low latency and computational burden.

Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals.

Conventional wireless communication architecture, a backbone of our modern society, relies on actively generated carrier signals to transfer information, leading to important challenges including limited spectral resources and energy consumption. Backscatter communication systems, on the other hand, modulate an antenna's impedance to encode information into already existing waves but suffer from low data rates and a lack of information security. Here, we introduce the concept of massive backscatter communication which modulates the propagation environment of stray ambient waves with a programmable metasurface. The metasurface's large aperture and huge number of degrees of freedom enable unprecedented wave control and thereby secure and high-speed information transfer. Our prototype leveraging existing commodity 2.4 GHz Wi-Fi signals achieves data rates on the order of hundreds of Kbps. Our technique is applicable to all types of wave phenomena and provides a fundamentally new perspective on the role of metasurfaces in future wireless communication.

Intelligent metasurface imager and recognizer.

There is an increasing need to remotely monitor people in daily life using radio-frequency probe signals. However, conventional systems can hardly be deployed in real-world settings since they typically require objects to either deliberately cooperate or carry a wireless active device or identification tag. To accomplish complicated successive tasks using a single device in real time, we propose the simultaneous use of a smart metasurface imager and recognizer, empowered by a network of artificial neural networks (ANNs) for adaptively controlling data flow. Here, three ANNs are employed in an integrated hierarchy, transforming measured microwave data into images of the whole human body, classifying specifically designated spots (hand and chest) within the whole image, and recognizing human hand signs instantly at a Wi-Fi frequency of 2.4 GHz. Instantaneous in situ full-scene imaging and adaptive recognition of hand signs and vital signs of multiple non-cooperative people were experimentally demonstrated. We also show that the proposed intelligent metasurface system works well even when it is passively excited by stray Wi-Fi signals that ubiquitously exist in our daily lives. The reported strategy could open up a new avenue for future smart cities, smart homes, human-device interaction interfaces, health monitoring, and safety screening free of visual privacy issues.

GTS40, an active fraction of Gou Teng-San (GTS), protects PC12 from H2O2-induced cell injury through antioxidative properties.

Oxidative stress, a predominant cause of apoptosis cascades triggered in neurodegenerative disorders, has been regarded as a critical inducement in the pathogenesis of Alzheimer's disease (AD). Gou Teng-San (GTS) is a traditional Chinese herbs preparation commonly utilized to alleviate cognitive dysfunction and psychological symptoms of patients with dementia. The present study aimed to investigate the protective effects of GTS40, an active fraction of GTS, on H2O2-induced oxidative damage and identify the potential active ingredients. Our results revealed that GTS40 exhibited radical scavenging activity, elevated cell viability, decreased the levels of intracellular reactive oxygen species (ROS), and stabilized mitochondrial transmembrane potential (MMP) in H2O2-treated PC12 cells. In addition, GTS40 blocked the apoptotic cascade by reversing the imbalance of Bcl-2/Bax and inhibiting the activity of caspase-3. Furthermore, an HPLC-QTOFMS method was developed to characterize major chemical constituents in GTS40. Our results revealed twenty-seven identified or tentatively characterized compounds through comparing their retention time (tR) and MS spectra with reference standards. These results suggested that GTS40 was a promising active fraction that may be beneficial in the prevention and treatment of oxidative stress-mediated neurodegenerative disorders.

Protective effects of a Chotosan Fraction and its active components on ß-amyloid-induced neurotoxicity.

Chotosan (CTS) is a traditional Kampo prescription used to treat chronic headache and hypertension. Recent clinical studies demonstrated that CTS has ameliorative effects on dementia. This study aims to identify the anti-Alzheimer components in CTS. ß-amyloid (Aß) is considered to play a central role in the pathophysiology of Alzheimer's disease. CTS-E, a fraction of CTS, showed significant protective effects on Aß-induced neurotoxicity. High-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used for the qualitative analysis of it. Among the identified constituents, neuroprotective effects against Aß(25-35)-induced neurotoxicity of 10 major compounds were tested by MTT assay. Their inhibitory action on Aß(1-42) self-induced aggregation was measured by Thioflavin T-binding assay. The results showed that caffeic acid, chlorogenic acid, 1,5-dicaffeoylquinic acid, 3,5-dicaffeoylquinic acid and 4,5-dicaffeoylquinic acid had significant neuroprotective effects on Aß(25-35)-induced neurotoxicity. Besides these phenolic acids, nobiletin and hesperidin could also inhibit Aß(1-42) self-induced aggregation. In conclusion, the neuroprotective fraction, CTS-E, could protect PC12 cells from Aß-induced neurotoxicity. Anti-oxidative effects may at least partly mediate the neuroprotective effects of it. Phenolic acids from Chrysanthemi Flos and flavonoids from Citri Reticulatae Pericarpium might be the effective constituents in CTS-E.

Chemical profile of the active fraction of Yi-Gan San by HPLC-DAD-Q-TOF-MS and its neuroprotective effect against glutamate-induced cytotoxicity.

Yi-Gan San (YGS), a traditional Chinese medicine for dementia-related symptoms, was previously fractionated. One active fraction, YGS40 exhibited a neuroprotective effect against glutamate-induced cytotoxicity. In the present study, high-performance liquid chromatography, coupled with diode-array detection and quadrupole time-of-flight mass spectrometry, was applied for the identification of its chemical constituents and for quantification studies. The chemical profile of YGS40 consisted of sixty-four identified or tentatively characterized compounds. The levels of the major marker compounds increased significantly in the mixed decoction compared with those in the single plant decoction. The results suggest the high precision of the analyses of most of the constituents in YGS40 and establish the quantitative variations of the major marker compounds between the single and mixed decoction processes.